Complex example

This example from networkx shows how to use complex network properties including edge tension.

import networkx as nx
import matplotlib as mpl
import matplotlib.pyplot as plt
import iplotx as ipx
import itertools as it

nodes = "ABC"
prod = list(it.product(nodes, repeat=2)) * 4
G = nx.MultiDiGraph()
for i, (u, v) in enumerate(prod):
    G.add_edge(u, v, w=round(i / 3, 2))
nx.set_node_attributes(G, nx.spring_layout(G, seed=3113794652), "pos")
csi = it.cycle([5 * r for r in it.accumulate([0.15] * 4)])
nx.set_edge_attributes(G, {e: next(csi) for e in G.edges(keys=True)}, "tension")
nx.set_edge_attributes(
    G,
    {tuple(e): w for *e, w in G.edges(keys=True, data="w")},
    "label",
)

fig, ax = plt.subplots()
ipx.plot(
    G,
    ax=ax,
    layout="pos",
    edge_labels=True,
    style={
        "edge": {
            "curved": True,
            "tension": G.edges.data("tension"),
            "color": G.edges.data("w"),
            "cmap": mpl.colormaps["inferno"],
            "linewidth": 1,
            "looptension": 7.5,
            "label": {
                "color": "black",
                "bbox": {
                    "facecolor": "none",
                },
            },
        },
    },
)
ax.margins(0.17)